From 6c872c7d57e4bc6a0c487b9b34235211e6cdc27b Mon Sep 17 00:00:00 2001
From: "abir.chebbi" <abir.chebbi@hes-so.ch>
Date: Tue, 17 Sep 2024 14:04:01 +0200
Subject: [PATCH] update Readme

---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 6c26edc..b20da8e 100644
--- a/README.md
+++ b/README.md
@@ -38,14 +38,14 @@ This script performs the following actions:
 
 ### Step 3: Vectorizing the PDF Files
 
+After setting up the S3 bucket and Vector DB, we could process PDF files to generate and store embeddings in the vector database.
+
 Start by requesting access to the following models on the AWS Bedrock service:
 
 - Titan Embedding v1
 - Claude v2
 
-After setting up the S3 bucket and Vector DB, we could process PDF files to generate and store embeddings in the vector database.
-
-Run: 
+Then, run: 
 
 `python3 vectorise-store.py --bucket_name [YourBucketName] --endpoint [YourVectorDBEndpoint] --index_name [Index_name] --local_path [local_path]`
 
-- 
GitLab